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| Multivariate Analysis | 3 |
| Statistical Significance | 3 |
| Correlation | 2 |
| Hypothesis Testing | 2 |
| Matrices | 2 |
| Statistical Analysis | 2 |
| Computer Programs | 1 |
| Data Analysis | 1 |
| Effect Size | 1 |
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| Timm, Neil H. | 3 |
| Carlson, James E. | 2 |
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| Journal Articles | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
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Peer reviewedTimm, Neil H. – Journal of Educational and Behavioral Statistics, 1999
Provides an overall test statistic to evaluate significance that yields 100% (1-alpha) confidence intervals for all linear combinations of effect sizes, shows how the stepdown Finite Intersection Test (N. Timm, 1995) may be used to test whether effect sizes are simultaneously different from zero, and illustrates the procedure. (SLD)
Descriptors: Effect Size, Multivariate Analysis, Statistical Significance
Peer reviewedTimm, Neil H.; Carlson, James E. – Psychometrika, 1976
Extending the definitions of part and bipartial correlation to sets of variates, the notion of part and bipartial canonical correlation analysis are developed and illustrated. (Author)
Descriptors: Correlation, Hypothesis Testing, Matrices, Multivariate Analysis
Timm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing


